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Quantitative Techniques-II



                      Notes         The above method is used commonly for sorting of data.

                                    The tabulation may include table number, title, head note, stub, caption, sub-entries, body of the
                                    table, footnote and the source. The following example explains the component of a table.

                                    Format of a Blank Table

                                                                      TABLE No.
                                    Title – Number of children per family

                                    Head Note – Unit of measurement
                                                     Caption
                                      Sub Heading                                                  Total
                                                     Body


                                                     Foot note

                                    The table must have a clear and brief title. The head note, usually the measurement unit, is
                                    placed at the top of the table in the right hand corner in a bracket.
                                    Stub indicates the row title or the row headings and is placed in the left-hand column. Caption
                                    indicates what each column is meant for.
                                    Sub-entries are the sub-group of the stub. The body of the table given full information of the
                                    frequency.

                                    Summarising the Data

                                    Before  taking  up  summarising,  the  data  should  be  classified  into  (1)  Relevant  data,  and
                                    (2) Irrelevant data. During the field study, the researcher collects lot of data which he may think
                                    would be of use. Summarizing the data includes:

                                    Classification of Data

                                    (a)  Number of groups: The number of groups should be sufficient to record all possible data.
                                         The classification should not be too narrow. If it is too narrow, there can be an overlap.


                                           Example: If a researcher is conducting a survey on “Why does the current owner dislikes
                                    the car?” The car owner may indicate the following:

                                       (1)  Difficulty in seeking entry to the back seat
                                       (2)  Interior space
                                       (3)  Cramped leg room

                                       (4)  Mileage
                                       (5)  Rattling of the engine

                                       (6)  Dickey space
                                    Now the above data can be classified into two or three categories such as (1) Discomfort
                                    (2) Expense (3) Pride (4) Safety (5) Design of the car.




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